smart plastics knowledge base

Networked machines that communicate independently with each other without the influence of humans are described by the term "Internet of Things". An illustrative example: A refrigerator, which, via sensors, detects that there is no milk left or a predetermined minimum quantity has been reached, and orders a replenishment at the connected supermarket using a network. In contrast to the normal Internet, where a user makes an input at the terminal, the systems in this case act independently, machine-to-machine (M2M).

Defects in equipment cannot always be predicted and avoided. If, for example, an energy chain breaks, the entire machine - and not just the energy supply system itself - can quickly become damaged and shut down for a long time. If, however, an EC.B breakage detection sensor is installed in the e-chain, it detects a defect such as a breakage at an early stage and either triggers a signal or shuts down the entire machine via an NC contact. The sensor thus prevents further damage and total failure of the machine, i.e. a "crash". Our crash avoidance sensors protect machinery against major defects, failures and downtimes, avoiding unplanned costs.

Industry 4.0 is a project of the Federal Government for the digitalisation of industrial production. The underlying idea of this is that production processes do not run side by side as individual processes, but are digitally networked with modern communication technology. All components such as machines, products, logistics and, of course, people communicate with each other in this way. The goal of this digital networking is a well-integrated and efficient self-organisation of production that uses resources economically. Industry 4.0 has now become a familiar term for anyone involved in digitising their business, from order entry to machine monitoring.

Predictive maintenance means that the ideal time for maintenance measures can be determined. This is possible when systems are equipped with sensors that report wear and use of components. Ideally, an IoT online connection compares specified operating data and real use data to determine the best time for efficient maintenance, ensuring cost-effective and resource-efficient operation.